class_docstr: Class for the manifold of geometric distributions.
  
  This is the parameter space of geometric distributions
  i.e. [0,1] segment.
code: def __init__(self, equip=True):
      super().__init__(
          dim=1,
          embedding_space=Euclidean(dim=1),
          support_shape=(),
          equip=equip,
      )
      self._scp_rv = GeometricDistributionsRandomVariable(self)
  
imports: from scipy.stats import geom
  import geomstats.backend
  from geomstats.geometry.base import VectorSpaceOpenSet
  from geomstats.geometry.euclidean import Euclidean
  from geomstats.geometry.riemannian_metric import RiemannianMetric
  from geomstats.information_geometry.base import InformationManifoldMixin, ScipyUnivariateRandomVariable
label_desc: Use image node_id 1 to create a new GeometricDistributions object from inherited base classes: InformationManifoldMixin, VectorSpaceOpenSet with example: obj = GeometricDistributions(equip)